CN102753100A - Ultrasonic diagnostic apparatus and ultrasonic image processing apparatus - Google Patents
Ultrasonic diagnostic apparatus and ultrasonic image processing apparatus Download PDFInfo
- Publication number
- CN102753100A CN102753100A CN2011800028266A CN201180002826A CN102753100A CN 102753100 A CN102753100 A CN 102753100A CN 2011800028266 A CN2011800028266 A CN 2011800028266A CN 201180002826 A CN201180002826 A CN 201180002826A CN 102753100 A CN102753100 A CN 102753100A
- Authority
- CN
- China
- Prior art keywords
- mentioned
- image
- brightness value
- filtering
- generation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004364 calculation method Methods 0.000 claims abstract description 19
- 238000002604 ultrasonography Methods 0.000 claims description 124
- 238000001914 filtration Methods 0.000 claims description 86
- 230000002708 enhancing effect Effects 0.000 claims description 67
- 210000004204 blood vessel Anatomy 0.000 claims description 45
- 230000015572 biosynthetic process Effects 0.000 claims description 35
- 238000003786 synthesis reaction Methods 0.000 claims description 33
- 239000000523 sample Substances 0.000 claims description 21
- 238000000354 decomposition reaction Methods 0.000 claims description 18
- 238000003860 storage Methods 0.000 claims description 11
- 230000004069 differentiation Effects 0.000 claims description 9
- 238000002059 diagnostic imaging Methods 0.000 claims 18
- 239000002131 composite material Substances 0.000 abstract 1
- 230000001629 suppression Effects 0.000 abstract 1
- 238000000034 method Methods 0.000 description 78
- 238000004519 manufacturing process Methods 0.000 description 48
- 230000005764 inhibitory process Effects 0.000 description 23
- 210000001519 tissue Anatomy 0.000 description 15
- 238000005728 strengthening Methods 0.000 description 14
- 238000006243 chemical reaction Methods 0.000 description 8
- 238000009499 grossing Methods 0.000 description 4
- 230000017531 blood circulation Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000003672 processing method Methods 0.000 description 3
- 230000033228 biological regulation Effects 0.000 description 2
- 239000012467 final product Substances 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000002372 labelling Methods 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 239000013598 vector Substances 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000000205 computational method Methods 0.000 description 1
- 239000002872 contrast media Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000010189 synthetic method Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0891—Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of blood vessels
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/48—Diagnostic techniques
- A61B8/488—Diagnostic techniques involving Doppler signals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration by the use of local operators
-
- G06T5/70—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
Abstract
According to one embodiment, an edge information calculation unit calculates edge information based on a generated ultrasonic image. An edge filter unit generates a filtered image from the ultrasonic image by applying a filter having filter characteristics corresponding to the calculated edge information to the ultrasonic image. An edge enhancement unit generates an enhanced image from the filtered image by increasing the brightness value, of the filtered image, which corresponds to the edge information. A high brightness suppression unit generates a composite image of the enhanced image and the ultrasonic image in accordance with a compositing ratio corresponding to the brightness value of the enhanced image.
Description
Technical field
This embodiment relates to diagnostic ultrasound equipment and Ultrasonographic device.
Background technology
Diagnostic ultrasound equipment sends ultrasound wave from the oscillator that is built in the ultrasound probe to subject, and receives the ultrasound wave by the subject reflection via oscillator, generates ultrasonography according to the echo-signal corresponding with the ultrasound wave that receives.Ultrasonography is except comprising and the speckle that also includes various noises subject is organized relevant information and produced by hyperacoustic interference.Noise and speckle make the deterioration in image quality of ultrasonography.
Have and a kind ofly organize relevant information with subject, calculate the marginal information of each pixel of ultrasonography in order to reduce noise and speckle and to strengthen, and to the method for the pixel application filtering corresponding with the marginal information that calculates.This filtering is directional smoothingization, the vertical direction sharpening of direction on the edge of on the edge of particularly.Utilize the image processing method of this filtering for example to be used for improving the picture quality of blood-vessel image.
In order to observe the ultrasonography relevant with blood vessel, preferably strengthen diaphragm area in the blood vessel wall on the whole, in the inner membrance directional smoothingization, be not positioned near the essence zone of blood vessel wall diaphragm area and do not strengthen.Through above-mentioned image processing method, though diaphragm area is to be detected as the edge in the blood vessel wall, the essence zone that brightness flop is big is also to be detected as the edge.Therefore, during diaphragm area, the essence zone also is enhanced in strengthening blood vessel wall.Like this, through using above-mentioned image processing method, when optimizing the demonstration of diaphragm area in the blood vessel wall, near the essence zone the diaphragm area becomes too bright in the blood vessel wall sometimes.
The prior art document
Patent documentation
Patent documentation 1: TOHKEMY 2009-153918
Summary of the invention
(problem that invention will solve)
The purpose of embodiment is to provide the diagnostic ultrasound equipment and the Ultrasonographic device of the picture quality that can improve ultrasonography.
(scheme of dealing with problems and being adopted)
The diagnostic ultrasound equipment that this embodiment relates to has ultrasound probe, generation portion, calculating part, Filtering Processing portion, enhancing portion and synthetic portion.Ultrasound probe sends ultrasound wave to subject, and receives the ultrasound wave by above-mentioned subject reflection, generates and the corresponding echo-signal of the above-mentioned ultrasound wave that receives.Generation portion generates the ultrasonography relevant with above-mentioned subject according to the echo-signal of above-mentioned generation.Calculating part is according to the ultrasonography edge calculation information of above-mentioned generation.The filtering of the filtering characteristic that the marginal information that Filtering Processing portion implements to have to go out with aforementioned calculation to above-mentioned ultrasonography is corresponding, and according to above-mentioned ultrasonography generation filtering image.The brightness value of the position corresponding with above-mentioned marginal information in the filtering image of above-mentioned generation improves in enhancing portion according to above-mentioned marginal information, and generates according to above-mentioned filtering image and to strengthen image.Synthetic portion basis and the corresponding synthesis rate of brightness value of the enhancing image of above-mentioned generation generate the composograph of above-mentioned enhancing image and above-mentioned ultrasonography.
(invention effect)
A kind of diagnostic ultrasound equipment and Ultrasonographic device that can improve the picture quality of ultrasonography can be provided.
Description of drawings
Fig. 1 is the figure of the structure of the diagnostic ultrasound equipment that relates to of this embodiment of expression.
Fig. 2 is the figure of structure of the image processing part of presentation graphs 1.
Fig. 3 is the figure of structure of the optimal brightness image production part of presentation graphs 2.
Fig. 4 is the figure of structure of the high brightness inhibition portion of presentation graphs 3.
Fig. 5 is the figure of expression as an example of the blood-vessel image of the process object image of the high brightness inhibition portion of Fig. 3.
The figure of the relation between the parameter ETH that Fig. 6 is utilized for the synthetic portion of the image of presentation graphs 5 and the brightness value of enhancing image I ENH.
Fig. 7 is the figure of the structure of the optimal brightness image production part that relates to of variation 1 of this embodiment of expression.
Fig. 8 is the figure of the structure of the optimal brightness image production part that relates to of variation 2 of this embodiment of expression.
The figure of the input-output characteristic of the LUT that Fig. 9 is utilized for the form portion of presentation graphs 8.
Figure 10 is the figure of the structure of the optimal brightness image production part that relates to of variation 3 of this embodiment of expression.
The specific embodiment
Below, with reference to accompanying drawing diagnostic ultrasound equipment and the Ultrasonographic device that this embodiment relates to described.
Fig. 1 is the figure of the structure of the diagnostic ultrasound equipment 1 that relates to of this embodiment of expression.As shown in Figure 1, diagnostic ultrasound equipment 1 possesses ultrasound probe 10, sending part 20, acceptance division 30, B mode treatment portion 40, color Doppler handling part 50, image production part 60, image processing part 70, storage part 80 and display part 90.
Sending part 20 sends ultrasound wave via ultrasound probe 10 to subject repeatedly.More detailed, sending part 20 has not shown speed pulse-generating circuit, transmission lag circuit and the driving pulse generation circuit etc. that ultrasound wave sends usefulness.The speed pulse-generating circuit produces the speed pulse with the speed frequency f rHz (cycle: 1/fr second) of regulation to each channel repeatedly.Delay circuit is given each speed pulse and to each channel ultrasound wave is converged to pencil and decision and sends directivity needed time delay.Driving pulse produces circuit and in the timing based on the speed pulse of each delay ultrasound probe 10 is applied driving pulse.
B mode treatment portion 40 amplifies through the reception signal from acceptance division 30 being carried out logarithm, and the reception signal after the logarithm amplification is carried out the envelope detection, thereby generation is with the data of the b mode signal of the intensity of brightness performance echo-signal.The data of the b mode signal that generates are fed into image production part 60.
50 pairs of reception signals from acceptance division 30 of color Doppler handling part are implemented auto-correlation computation; Blood flow, tissue, contrast agent echo component that extraction is produced by Doppler effect generate the data of Doppler signal that show the intensity of average speed, variance, power blood flow informations such as (power) with color.The data of the Doppler signal that generates are fed into image production part 60.
70 pairs of B mode image carries out image processing of image processing part from image production part 60 or storage part 70.Generate that speckle reduces with noise and non-care zone does not too strengthen and is concerned about regional suitable enhanced B mode image through Flame Image Process.Details to Flame Image Process are narrated at the back.The B mode image of having implemented Flame Image Process is fed into storage part 80 and display part 90.
In addition, image processing part 70, storage part 80 and display part 90 composing images blood processor 100.This image processing apparatus 100 is as shown in Figure 1 also can be combined to diagnostic ultrasound equipment 1, also can be combined to the computer with diagnostic ultrasound equipment 1 allosome.
Below, the details of the image processing part 70 that relates to this embodiment describe.In addition, the process object B mode image of establishing image processing part 70 is the B mode image relevant with the blood vessel of subject.Yet this embodiment is not limited thereto, and the B mode image of the process object of image processing part 70 also can be applicable to and relevant B mode images of formation tissue such as bone or muscle beyond the blood vessel.
Fig. 2 is the figure of the structure of presentation video handling part 70.As shown in Figure 2, image processing part 70 decomposes/synthesizes in order to carry out multiple resolution, has the multiplet of being made up of multilamellar (level).In this embodiment, in order to describe particularly, establishing the multiple resolution decomposition/synthetic superlative degree is 3.Yet this embodiment need not to be defined in this.Multiple resolution is decomposed/is synthesized in the scope of the first order to the n level (wherein, n is the natural number more than 2) and gets final product.And, in this embodiment, adopt discrete wavelet conversion/inverse conversion to decompose/a synthetic example as multiple resolution.Yet this embodiment need not to be defined in this.For example, as multiple resolution decompose/synthetic, also can adopt laplacian pyramid (Laplacianpyramid) method, add existing multiple resolution decomposition/synthetic method such as primary (Gabor) conversion/inverse conversion.
As shown in Figure 2, the image processing part 70 that this embodiment relates to all possesses the synthetic portion 77 (77-1,77-2,77-3) of multiple resolution decomposition 71 (71-1,71-2, the 71-3) of portion, optimal brightness image production part 73 (73-1,73-2,73-3), high area image control part 75 (75-1,75-2,75-3) and multiple resolution in each level.
Multiple resolution decomposition portion 71 generates low area image and high area image with resolution lower than the resolution of process object image according to the process object image.For example, 71 pairs of process object images of multiple resolution decomposition portion are implemented the discrete wavelet conversion.In the discrete wavelet conversion, each direction of principal axis of 71 pairs of xy orthogonal coordinates of multiple resolution decomposition portion (each dimension) is used low territory filtering of one dimension and the filtering of high territory respectively.Through the application of these filtering, the process object picture breakdown is become 1 low area image and 3 high area images.Low area image comprises the low frequency component in the spatial frequency component that the process object image had.Each high area image comprises the high fdrequency component relevant with at least one direction in the spatial frequency component that the process object image had.Sample number on each coordinate axes before sample number on each coordinate axes of each image after the decomposition is reduced into and decomposes half the.
When multiple resolution decomposition portion 71 belonged to lowermost level (first order during Fig. 2), the process object image was the B mode image from image production part 60 or storage part 70.When multiple resolution decomposition portion 71 did not belong to lowermost level (first order during Fig. 2), the process object image was the low area image from the multiple resolution decomposition portion 71 of next stage.
When multiple resolution decomposition portion 71 belonged to highest (third level during Fig. 2), the low area image of generation was fed into this five-star optimal brightness image production part 73-3.When multiple resolution decomposition portion 71 did not belong to the superlative degree, the low area image of generation was fed into the multiple resolution decomposition portion 71 that belongs to upper level.3 high area images that generate are fed into the high area image control part 75 that belongs at the same level.
Each edge calculation information of a plurality of pixels that comprise in 73 pairs of process object images of optimal brightness image production part.Marginal information is fed into high area image control part 75 at the same level.And optimal brightness image production part 73 utilizes marginal information to generate speckle according to the process object image and noise reduces and high-brightness region does not too strengthen but not the suitable enhanced image of the marginal area of high-brightness region.The image that generates is called the optimal brightness image.The optimal brightness image is fed into the synthetic portion 77 of multiple resolution at the same level.
When optimal brightness image production part 73 belonged to highest (third level during Fig. 2), the process object image was from the low area image that belongs to this five-star multiple resolution decomposition portion 71.When optimal brightness image production part 73 did not belong to the superlative degree, the process object image was the image from the synthetic portion 77 of the multiple resolution that belongs to upper level.
Fig. 3 is the figure of the structure of expression optimal brightness image production part 73.As shown in Figure 3, optimal brightness image production part 73 has marginal information calculating part 731, edge filter portion 733, edge enhancing portion 735 and high brightness inhibition portion 737.
731 pairs of process object image I of marginal information calculating part
INIn each edge calculation information of a plurality of pixels of comprising.Particularly, marginal information calculating part 731 at first utilizes near the pixel of process object pixel and process object pixel to carry out space differentiation along each coordinate axes, and the computer memory differential value.And marginal information calculating part 731 calculates edge strength and the direction relevant with the process object pixel according to the space differentiation value that calculates.This edge strength and direction be combined as marginal information.More detailed, marginal information calculating part 731 utilizes a plurality of key elements of the structure tensor (structure tensor) of space differentiation value computing subject pixels.A plurality of key elements that 731 pairs of marginal information calculating parts calculate are implemented linear algebra computing, 2 eigenvalues and 2 characteristic vectors of computation structure tensor.Side in 2 characteristic vectors is meant the direction of edgewise edge, and the opposing party is meant the direction with edge-perpendicular.Be called edge direction in this direction with the edgewise edge.Eigenvalue is relevant with edge strength.
The pixel of the calculating object of marginal information also can be the process object image I
INIn all pixels of comprising, also can be the pixel in the care zone of setting via input equipment etc. by the user.And, also can calculate a marginal information to a pixel, also can calculate a marginal information to a plurality of pixels.When a plurality of pixels were calculated a marginal information, for example, calculating got final product to the represent pixel in a plurality of pixels.Represent pixel for example is the pixel of the center, center of gravity or the end that are positioned at a plurality of pixels.And the marginal information that can be used as a plurality of pixels about the statistical value of a plurality of marginal informations of a plurality of pixels is used.At this moment, statistical value for example is set at meansigma methods, intermediate value, maximum, minima, mode of a plurality of marginal informations etc.
In addition, the computational methods of marginal information are not limited to the method for utilizing structure tensor.For example, also can utilize hessian matrix (Hessian matrix) substitute structure tensor to come edge calculation information.
733 pairs of input pictures of edge filter portion implement to have the filtering of the filtering characteristic corresponding with marginal information.At this, the filtering that will have the filtering characteristic corresponding with marginal information is called edge filter.Particularly, 733 pairs of process object image I of edge filter portion
INIn each edge calculation filtering of a plurality of pixels of comprising.Edge filter has edgewise edge direction marginal area is implemented sharpening, and the vertical direction of edgewise edge direction is implemented the characteristic of smoothing to marginal area.As edge filter, for example, can enumerate the Anisotropic Nonlinear diffusing filter (Nonlinear Anisotropic Diffusion Filter) that calculates according to marginal information.Edge filter portion 733 passes through each pixel is implemented edge filter, thus enhancement process object images I
INIn the marginal area that comprises, suppress non-marginal area.At this, the output image of edge filter portion 733 is called filtering image I
FIL
735 couples of filtering image I of edge enhancing portion
FILIn each of a plurality of pixels of comprising improve brightness value according to marginal information.At this, the output image that the edge is strengthened portion 735 is called enhancing image L
ENHParticularly, 735 pairs of each pixels of edge enhancing portion are edge strengths and threshold value relatively, and the pixel that will have greater than the edge strength of threshold value is set in marginal area, and the pixel that will have less than the edge strength of threshold value is set in non-marginal area.And the brightness value of the pixel that comprises in 735 pairs of marginal areas of edge enhancing portion increases the increment corresponding with edge strength.Increment is for example used parameter a
ENHWith edge strength E
EDGEAmass and stipulate.The enhancing of marginal area shows with following formula (1).In addition, I
ENHExpression strengthens the brightness value of the pixel of image, I
FILBe meant the brightness value of the pixel of filtering image.
I
ENH＝I
FIL+(1+a
ENH·E
EDGE)....(1)
Parameter a
ENHIt is the parameter that is used to regulate the raising degree of brightness value.Parameter a
ENHBe set at arbitrary value by the operator.In addition, owing to marginal area can not too strengthen, so parameter a
ENHFor example be set at the small quantity about 0.02.Like this, edge enhancing portion 735 comes further to strengthen filtering image I through the brightness value that improves the bigger pixel of edge strength a little
FILOn marginal area.
Like this, improve the brightness value of the pixel corresponding with marginal information through edge enhancing portion 735.In addition, when a plurality of pixels are calculated a marginal information, improve the brightness value of a plurality of pixels corresponding through edge enhancing portion 735 with this marginal information.
737 controls of high brightness inhibition portion strengthen image I
ENHOn high-brightness region, generate the optimal brightness image.More specifically, high brightness inhibition portion 737 according to strengthen image I
ENHThe corresponding synthesis rate of brightness value will strengthen image I
ENHWith the process object image I
INSynthetic, generate the optimal brightness image I
OUT
Fig. 4 is the figure of the structure of expression high brightness inhibition portion 737.As shown in Figure 4, high brightness inhibition portion 737 has region detecting part 7371 and the synthetic portion 7373 of image.In addition, in order to carry out following explanation particularly, illustrate the B mode image relevant (below, be called blood-vessel image) as the process object image with blood vessel.
Fig. 5 is the figure of an example of expression blood-vessel image.As shown in Figure 5, blood-vessel image comprises the lumen area R1 relevant with tube chamber, the blood vessel wall inner membrance region R 2 relevant with the blood vessel wall inner membrance, the parenchymal tissue region R 3 relevant with parenchymal tissue.If the pixel region that the operator wants to examine is a blood vessel wall inner membrance region R 2.Blood vessel wall inner membrance region R 2 is between lumen area R1 and parenchymal tissue's region R 3.As long as the blood vessel wall inner membrance is normal, blood vessel wall inner membrance region R 2 just has the brightness value that is lower than parenchymal tissue's region R 3.Generally, on the B mode image, blood vessel wall inner membrance region R 2 usefulness light grays are represented.Blood vessel wall inner membrance region R 2 has elongated shape, and therefore, blood vessel wall inner membrance region R 2 is familiar with through Flame Image Process is marginal area.Therefore, strengthen blood vessel wall inner membrance region R 2 through edge filter portion 733.On the other hand, as stated, the execution at different levels that the edge filter of being carried out by edge filter portion 733 decomposes in multiple resolution.Descend because multiple resolution is decomposed the resolution that causes image, therefore can't reappear on image fully as the blood vessel wall inner membrance region R 2 of marginal area.For example, should be shown as to be divided into a plurality of pixel regions as 1 blood vessel wall inner membrance region R 2 that links pixel region owing to resolution descends originally.Therefore, only sharpening is the blood vessel wall inner membrance region R 2 that can't strengthen fully as the marginal area of non-high-brightness region through edge filter portion 733.Therefore, the edge enhancing portion 735 of the back level of edge filter portion 733 further strengthens blood vessel wall inner membrance region R 2 (marginal areas of non-high-brightness region).Yet, strengthen through the edge of edge enhancing portion 735, also further strengthen the marginal area of high-brightness region.Therefore, the parenchymal tissue's region R 3 that strengthens on the image excessively strengthens, and on image, stands out white.
The synthetic portion 7373 of image generates the optimal brightness image that has suppressed the marginal area of high-brightness region and strengthened the marginal area of non-high-brightness region.In Flame Image Process, the synthetic portion 7373 of image passes through according to strengthening image I
ENHWith the process object image I
INSynthesis rate will strengthen image I
ENHWith the process object image I
INSynthetic, thus the optimal brightness image I generated
OUTSynthesis rate is meant the enhancing image I for the brightness value of optimal brightness image
ENHContribution degree and process object image I
INContribution degree between ratio.Particularly, synthesis rate is to strengthening image I
ENHIn each of a plurality of pixels of comprising decide according to brightness value, for example be set to for the process object image I
INWeight coefficient with respect to for strengthening image I
ENHWeight coefficient with for the process object image I
INThe ratio of aggregate value of weight coefficient.For strengthening image I
ENHWeight coefficient with for the process object image I
INThe aggregate value of weight coefficient be set at 1.Synthesis rate for example is set at the value that strengthens non-high-brightness region and suppress high-brightness region.The synthesis rate that this embodiment relates to has 2 types.Below describe to this synthesis rate of 2 types.
The 1st synthesis rate: when the process object pixel was divided into high-brightness region, synthesis rate was 100%, promptly for strengthening image I
ENHWeight coefficient be set at 0, for the process object image I
INWeight coefficient be set at 1.When the process object pixel was divided into non-high-brightness region, synthesis rate was 0%, promptly for strengthening pixel I
ENHWeight coefficient be set at 1, for the process object image I
INWeight coefficient be set at 0.That is, the synthetic portion 7373 of image will strengthen image I
ENHIn the brightness value of the high luminance pixel that comprises be replaced into the process object image I
INThe brightness value of pixel of same coordinate.In other words, image I is selected to strengthen at high-brightness region by the synthetic portion 7373 of image
ENH, select the process object image I at non-high-brightness region
INTherefore, utilize the 1st synthesis rate, the synthetic portion 7373 of image can be according to the process object image I
INWith the enhancing image I
ENHGenerate the optimal brightness image that has further strengthened the interior diaphragm area of blood vessel wall and suitably suppressed the parenchymal tissue zone.
The 2nd synthesis rate: utilized the generation processing of the optimal brightness image of the 2nd synthesis rate for example to use following formula (2) to show.In addition, I
OUTThe brightness value of the pixel of expression optimal brightness image, I
INThe brightness value of the pixel of expression process object image, I
ENHExpression strengthens the brightness value of the pixel of image.
I
OUT＝E
TH·I
IN+(1-E
TH)·I
ENH...(2)
Parameter E
THBe for the process object image I
INWeight coefficient, (1-E
TH) be for strengthening image I
ENHWeight coefficient.
Fig. 6 is expression parameter E
THWith the enhancing image I
ENHBrightness value between the chart of relation.As shown in Figure 6, for the process object image I
INWeight coefficient E
THIn order to make the edge smoothing between high-brightness region and the non-high-brightness region, and with strengthen image I
ENHBrightness value change linearly accordingly.Particularly, when the process object pixel is divided into non-high-brightness region, weight coefficient E
THBe set at 0, weight coefficient (1-E
TH) be set at 1.That is, when the process object pixel was divided into non-high-brightness region, synthesis rate was set at 0%.When the process object pixel is divided into high-brightness region, along with the raising of the brightness value of process object pixel, weight coefficient E
THBring up to 1, weight coefficient (1-E from 0
TH) be reduced to 0 linearly from 1.That is, when the process object pixel was divided into high-brightness region, along with the raising of brightness value, synthesis rate changed to 100% linearly from 0%.More detailed, along with brightness value from threshold value I
ThITo threshold value I
ThhImprove weight coefficient E
THBe reduced to 1 linearly from 0.Threshold value I
The ThI exampleAs be set between the minimum brightness value that diaphragm area can have in the blood vessel wall maximum brightness value and parenchymal tissue zone can have.Threshold value I
ThhFor example be set at the minimum brightness value that can have than parenchymal tissue zone big the value of setting.
Like this, the 2nd synthesis rate changes with brightness value in the obtainable range of luminance values of high-brightness region accordingly linearly.Thus, the synthetic portion 7373 of image compares with the situation of utilizing the 1st synthesis rate, can make high-brightness region and the edge smoothing between the non-high-brightness region on the optimal brightness image.Therefore, the synthetic portion 7373 of image utilizes the 2nd synthesis rate, can be according to the process object image I
INWith the enhancing image I
ENHGenerate the optimal brightness image I that has further strengthened the interior diaphragm area of blood vessel wall and suitably suppressed the parenchymal tissue zone
OUT
Utilize the 1st synthesis rate still to utilize the 2nd synthesis rate to set arbitrarily by the operator.Like this, the optimal brightness image I of utilizing the 1st synthesis rate or the 2nd synthesis rate to be generated
OUTBe fed into the synthetic portion 77 of multiple resolution at the same level.
Then, be back to Fig. 2 again, the processing of the back level of optimal brightness image production part 73 is described.
High area image control part 75 is used to the marginal information from optimal brightness image production part 73, controls the brightness value from 3 high area images of multiple resolution decomposition portion 71 respectively.Particularly, each of a plurality of pixels that comprise in 75 pairs of each high area images of high area image generation portion will multiply each other with marginal information corresponding parameters and pixel.This parameter has the 1st parameter that is used for marginal area and the 2nd parameter that is used for non-marginal area.The 1st parameter setting is for strengthening marginal area.The 2nd parameter setting is for suppressing non-marginal area.The high area image of having been controlled brightness value by high area image control part 75 is fed into the synthetic portion 77 of multiple resolution.
The synthetic portion 77 of multiple resolution generates the output image of resolution greater than optimal brightness image and high area image according to from the optimal brightness image of optimal brightness image production part 73 with from 3 high area images of high area image control part 75.Particularly, the synthetic 77 pairs of optimal brightness images of portion of multiple resolution carry out multiple resolution such as discrete wavelet inverse conversion and synthesize with 3 high area images.Sample number on each coordinate axes of output image after synthetic is extended to 2 times of sample number on each coordinate axes of optimal brightness image and high area image before synthetic.
When the synthetic portion 77 of multiple resolution did not belong to lowermost level (first order during Fig. 2), output image was fed into the optimal brightness image production part 73 that belongs to next stage.When the synthetic portion 77 of multiple resolution belonged to lowermost level, output image was supplied to display part 90 from image processing part 70.
As stated, the diagnostic ultrasound equipment 1 and the image processing apparatus 100 that relate to of this embodiment has edge filter portion 733, edge enhancing portion 735 and high brightness inhibition portion 737.733 pairs of input pictures of edge filter portion are used the edge filter with filtering characteristic corresponding with marginal information.Thus, be created on edge direction implemented smoothing and on the edge of the vertical direction of direction implemented the filtering image of sharpening.Edge enhancing portion 735 generates the enhancing image that has further improved the brightness value of marginal area with marginal information accordingly according to filtering image.High brightness inhibition portion 737 suppresses to strengthen the high-brightness region on the image.Particularly, high brightness inhibition portion 737 is according to strengthening image with the corresponding synthesis rate of brightness value that strengthens image and input picture synthesizes.Thus, the optimal brightness image that optimal brightness image production part 73 can generate that speckle and noise reduce, high-brightness region too strengthens, the marginal area of non-high-brightness region has suitably strengthened.More detailed, optimal brightness image production part 73 can exceedingly not improve with blood vessel wall in the brightness value in parenchymal tissue zone of diaphragm area adjacency, and be made as the appropriate brightness value.And optimal brightness image production part 73 can be with diaphragm area in the blood vessel wall as the pixel region that connects into.
And this embodiment strengthens the high brightness inhibition with high brightness inhibition portion 737 at the edges that carry out edge enhancing portion 735 at different levels that multiple resolution has been decomposed.Thus; Strengthen situation about suppressing with the high brightness of high brightness inhibition portion 737 with the edge that after the multiple resolution of the first order is synthetic, carries out edge enhancing portion 735 and compare, the border between border between marginal area and the non-marginal area or high-brightness region and the non-high-brightness region becomes more natural.
Like this, the diagnostic ultrasound equipment 1 that relates to of this embodiment and image processing apparatus 100 raising that realized the picture quality of ultrasonography.
In addition, the optimal brightness image production part 73 that this embodiment relates to is arranged at different levels that multiple resolution decomposes, with low area image at different levels as process object.Yet this embodiment is not limited thereto, and optimal brightness image production part 73 also can be with high area image rather than low area image as process object.And, also can only be arranged on the level of the part that multiple resolution decomposes.And the image after image, the multiple resolution before optimal brightness image production part 73 also can decompose multiple resolution is decomposed is as process object.
(variation 1)
Carry out the high brightness control of high brightness inhibition portion 737 after being made as optimal brightness image production part 73 that this embodiment relates to the edge of enhancing portion 735 strengthening on the edge of.The optimal brightness image production part that variation 1 relates to is provided with edge enhancing portion after high brightness inhibition portion 737.Below, the optimal brightness image production part that relates to variation 1 describes.In addition, to having and this embodiment structure of same function roughly, additional same labelling only carries out repeat specification when needed in following explanation.
Fig. 7 is the figure of the structure of the optimal brightness image production part 73a that relates to of expression variation 1.As shown in Figure 7, optimal brightness image production part 73a has marginal information calculating part 731, edge filter portion 733, the high brightness inhibition 737a of portion and the edge enhancing 735a of portion.
The high brightness inhibition 737a of portion suppresses the filtering image I from edge filter portion 733
FILOn high-brightness region.Particularly, the 737a of high brightness inhibition portion through according to filtering image I
FILThe corresponding synthesis rate of brightness value with the process object image I
INWith filtering image I
FILThe synthetic composograph I that generates
CONThe synthesis rate that variation 1 relates to is meant for composograph I
CONThe filtering image I of brightness value
FILContribution degree and process object image I
INContribution degree between ratio.The synthesis rate that variation 1 relates to is set at for the process object image I
INWeight coefficient with respect to for filtering image I
FILWeight coefficient with for the process object image I
INThe ratio of aggregate value of weight coefficient.Composograph I
CONBe to have suppressed filtering image I
FILOn the image of high-brightness region.The image combining method of the synthetic portion 7373 of the image in image combining method and this embodiment is identical, therefore omits explanation.
The 735a of edge enhancing portion is to the composograph I from the high brightness inhibition 737a of portion
CONIn each and marginal information of a plurality of pixels of comprising improve brightness value accordingly.The method of the edge enhancing portion 735 that raising method and this embodiment of brightness value relates to is identical.Thus, the 735a of edge enhancing portion generates the optimal brightness image that has suppressed the marginal area of high-brightness region and strengthened the marginal area of non-high-brightness region.When the ultrasound investigation blood vessel, generate the optimal brightness image that has further strengthened the interior diaphragm area of blood vessel wall and suppressed the parenchymal tissue zone.
Like this, the diagnostic ultrasound equipment that relates to of the variation 1 of this embodiment and image processing apparatus are realized the raising of the picture quality of ultrasonography.
(variation 2)
Be made as optimal brightness image production part 73 that this embodiment relates to and generate the optimal brightness image according to the process object image with from the enhancing image of edge enhancing portion 735.The optimal brightness image production part that variation 2 relates to only generates the optimal brightness image according to the enhancing image from edge enhancing portion.Below, the optimal brightness image production part that relates to variation 2 describes.In addition, in following explanation, to have with this embodiment roughly the structure of same function add prosign, only carry out repeat specification when needed.
Fig. 8 is the figure of the structure of the optimal brightness image production part 73b that relates to of expression variation 2.As shown in Figure 8, optimal brightness image production part 73b has marginal information calculating part 731, edge filter portion 733, edge enhancing portion 735 and form portion 739.
739 couples of enhancing image applications LUT (look-up table) of form portion from edge enhancing portion 735.Application through LUT generates the optimal brightness image I
OUTLUT is pre-prepd.LUT is that regulation input brightness value (strengthens image I
ENHBrightness value) with output brightness value (optimal brightness image I
OUTBrightness value) the form of input-output characteristic.
Fig. 9 is the input brightness value for the figure of the input-output characteristic of the LUT of expression form portion 739, transverse axis, and the longitudinal axis is the output brightness value.As shown in Figure 9, LUT has the 1st input-output characteristic and the 2nd input-output characteristic.The 1st input-output characteristic domination input brightness value is lower than threshold value I
ThRange of luminance values.In the 1st input-output characteristic, the output brightness value improves along with the raising of input brightness value linearly.That is, represent that the line L1 with respect to the output brightness value of importing brightness value in the 1st input-output characteristic is a straight line, the above inclination of 45 degree is arranged with respect to input brightness value axle.In this low brightness values scope, for example, the resulting value of positive number that the input brightness value multiply by more than 1 is replaced into the output brightness value.The 2nd input-output characteristic domination input brightness value is higher than threshold value I
ThRange of luminance values.In the 2nd input-output characteristic, the output brightness value is compared the 1st input-output characteristic and is more gently non-linearly improved along with the raising of input brightness value.That is, representing that the line L2 with respect to the output brightness value of importing brightness value in the 2nd input-output characteristic is a curve, non-linearly rises in the below of the extended line L1 ' of online L1.In this high luminance values scope, for example will import brightness value multiply by less than the resulting value of 1 positive number and is replaced into the output brightness value.Threshold value I
ThBe set at the border between high-brightness region and the non-high-brightness region.Particularly, threshold value I
ThFor example be set at the maximum brightness value that diaphragm area can have in the blood vessel wall that strengthens in the image, so that diaphragm area is included in non-high-brightness region in the blood vessel wall.
Through to strengthening the LUT that image applications has this input-output characteristic, can generate the further optimal brightness image that has strengthened the interior diaphragm area of blood vessel wall and suppressed the parenchymal tissue zone.
Like this, the diagnostic ultrasound equipment that relates to of the variation 2 of this embodiment and the image processing apparatus raising that realized the picture quality of ultrasonography.
(variation 3)
The optimal brightness image production part 73 that this embodiment the relates to back level of filtering portion 733 on the edge of is provided with high brightness inhibition portion 737.The optimal brightness image production part that variation 3 relates to is provided with edge filter portion in the back level of high brightness inhibition portion.Below, the optimal brightness image production part that variation 3 is related to describes.In addition, in following explanation,, only carry out repeat specification when needed to having and this embodiment, variation 1, the variation 2 additional same labelling of structure of same function roughly.
Figure 10 is the figure of the formation of the optimal brightness image production part 73c that relates to of expression variation 3.Shown in figure 10, optimal brightness image production part 73c has the 739c of form portion, marginal information calculating part 731c, the main filtering 733c of portion and the edge enhancing 735c of portion.
The 739c of form portion is to the process object image I
INUse LUT, generate tabular drawing as L
CONLUT has the identical characteristic of input-output characteristic that relates to variation 2.
Marginal information calculating part 731c his-and-hers watches table images L
CONIn each edge calculation information of a plurality of pixels of comprising.The 733c of edge filter portion is through his-and-hers watches table images L
CONEnforcement has the edge filter of the filtering characteristic corresponding with marginal information, thus directional smoothingization, the vertical direction sharpening of direction on the edge of on the edge of.Generate filtering image I thus
FILThe 735c of edge enhancing portion is to filtering image I
FILIn each and marginal information of a plurality of pixels of comprising improve brightness value accordingly.The method of the edge enhancing portion 735 that raising method and this embodiment of brightness value relates to is identical.Thus, the 735c of edge enhancing portion generate appropriate inhibition high-brightness region marginal area and strengthened the optimal brightness image I of the marginal area of non-high-brightness region
OUTWhen the ultrasound investigation blood vessel, generate the optimal brightness image that has further strengthened the interior diaphragm area of blood vessel wall and suppressed the parenchymal tissue zone.
Like this, the diagnostic ultrasound equipment that relates to of the variation 3 of this embodiment and the image processing apparatus raising that realized the picture quality of ultrasonography.
In addition, in above-mentioned explanation, be made as image processing apparatus that this embodiment relates to ultrasonography as process object.Yet this embodiment is not limited thereto.Promptly; The image processing apparatus that this embodiment relates to is except can be with ultrasonography as the process object, and the radioscopic image that can also generate with the CT image that is generated by the X ray computer laminagraph device, by the radiodiagnosis device, the MR image that generated by MR imaging apparatus are as process object.
Be illustrated to several embodiments of the present invention, but these embodiments illustrate as an example, be not intended to limit scope of invention.These new embodiments can be implemented through other variety of ways, in the scope of the main idea that does not break away from invention, can carry out various omissions, displacement, change.These embodiments and its distortion and are included in the invention and its equivalency range that claims put down in writing in being included in scope of invention and main idea.
(symbol description)
1 diagnostic ultrasound equipment; 10 ultrasound probes; 20 sending parts; 30 acceptance divisions; 40B mode treatment portion; 50 color Doppler handling parts; 60 image production parts; 70 image processing parts; 71 multiple resolution decomposition portions; 73 optimal brightness image production parts; 75 high area image control parts; 77 multiple resolution are synthesized portion; 80 storage parts; 90 display parts; 100 Ultrasonographic devices; 731 marginal information calculating parts; 733 edge filter portions; 735 edge enhancing portions; 737 high brightness inhibition portions; 7371 region detecting part; 7373 images synthesize portion
Claims (16)
1. a diagnostic ultrasound equipment is characterized in that, comprising:
Ultrasound probe sends ultrasound wave to subject, and receives the ultrasound wave by above-mentioned subject reflection, generates and the corresponding echo-signal of the above-mentioned ultrasound wave that receives;
Generation portion is according to the echo-signal generation ultrasonography relevant with above-mentioned subject of above-mentioned generation;
Calculating part is according to the ultrasonography edge calculation information of above-mentioned generation;
Filtering Processing portion, the filtering of the filtering characteristic that the marginal information that above-mentioned ultrasonography is implemented to have to go out with aforementioned calculation is corresponding is according to above-mentioned ultrasonography generation filtering image;
In the filtering image of above-mentioned generation and the brightness value corresponding position of above-mentioned marginal information improve accordingly with above-mentioned marginal information in enhancing portion, generate according to above-mentioned filtering image to strengthen image; And
Synthetic portion is according to generating the composograph of above-mentioned enhancing image and above-mentioned ultrasonography with the corresponding synthesis rate of brightness value of the enhancing image of above-mentioned generation.
2. diagnostic ultrasound equipment according to claim 1 is characterized in that:
The marginal information of above-mentioned pixel is calculated to each of a plurality of pixels that ultrasonography comprised of above-mentioned generation by aforementioned calculation portion according to the spatial distribution of brightness value;
Above-mentioned enhancing portion improves brightness value to each of a plurality of pixels that filtering image comprised of above-mentioned generation with above-mentioned marginal information accordingly, generates according to above-mentioned filtering image to strengthen image.
3. diagnostic ultrasound equipment according to claim 1 is characterized in that:
The brightness value of the high-brightness region on the above-mentioned composograph is set at the brightness value of above-mentioned ultrasonography, and the brightness value of the non-high-brightness region on the above-mentioned composograph is set at the brightness value of above-mentioned enhancing image.
4. diagnostic ultrasound equipment according to claim 1 is characterized in that:
Above-mentioned synthesis rate is used for the 1st weight coefficient of above-mentioned enhancing image and the ratio for the 2nd weight coefficient of above-mentioned ultrasonography and is stipulated;
High-brightness region with the brightness value that is higher than the 1st threshold value and the non-high-brightness region with the brightness value that is lower than above-mentioned the 1st threshold value are detected by above-mentioned synthetic portion from above-mentioned enhancing image; At above-mentioned high-brightness region above-mentioned the 1st weight coefficient is set at 0; Above-mentioned the 2nd weight coefficient is set at 1; At above-mentioned non-high-brightness region above-mentioned the 1st weight coefficient is set at 1, above-mentioned the 2nd weight coefficient is set at 0.
5. diagnostic ultrasound equipment according to claim 1 is characterized in that:
Above-mentioned synthesis rate is used for the 1st weight coefficient of above-mentioned enhancing image and the ratio for the 2nd weight coefficient of above-mentioned ultrasonography and is stipulated;
High-brightness region with the brightness value that is higher than the 1st threshold value and the non-high-brightness region with the brightness value that is lower than above-mentioned the 1st threshold value are detected by above-mentioned synthetic portion from above-mentioned enhancing image; From above-mentioned non-high-brightness region, detect the 1st non-high-brightness region and the 2nd non-high-brightness region of the low brightness value of the 2nd threshold value have than be lower than above-mentioned the 1st threshold value with brightness value higher than above-mentioned the 2nd threshold value; At the above-mentioned the 1st non-high-brightness region above-mentioned the 1st weight coefficient is set at 1; Above-mentioned the 2nd weight coefficient is set at 0; At the above-mentioned the 2nd non-high-brightness region; With brightness value accordingly, above-mentioned the 1st weight coefficient is set at 1 to 0 value, above-mentioned the 2nd weight coefficient is set at 0 to 1 value.
6. diagnostic ultrasound equipment according to claim 1 is characterized in that:
Above-mentioned generation portion possesses ultrasonography generation portion and multiple resolution decomposition portion; This ultrasonography generation portion generates the primary ultrasonography relevant with above-mentioned subject according to above-mentioned echo-signal, low area image and high area image that this multiple resolution decomposition portion has the resolution lower than the resolution of above-mentioned ultrasonography according to the primary ultrasonography generation of above-mentioned generation;
Above-mentioned low area image is used as above-mentioned ultrasonography.
7. diagnostic ultrasound equipment according to claim 6 is characterized in that,
Comprise that also multiple resolution synthesizes portion, generate output image with resolution identical with the resolution of above-mentioned primary ultrasonography according to above-mentioned composograph and above-mentioned high area image.
8. diagnostic ultrasound equipment according to claim 1 is characterized in that:
Above-mentioned ultrasonogram similarly is the image relevant with the blood vessel of above-mentioned subject.
9. diagnostic ultrasound equipment according to claim 1 is characterized in that:
Above-mentioned enhancing portion changes the degree that above-mentioned brightness value is improved accordingly with edge strength based on above-mentioned marginal information.
10. a diagnostic ultrasound equipment is characterized in that, comprising:
Ultrasound probe sends ultrasound wave to subject, receives the ultrasound wave by above-mentioned subject reflection, generates and the corresponding echo-signal of the above-mentioned ultrasound wave that receives;
Generation portion is according to the echo-signal generation ultrasonography relevant with above-mentioned subject of above-mentioned generation;
Calculating part to a plurality of pixels that ultrasonography comprised of above-mentioned generation each, calculates the marginal information of above-mentioned pixel according to the space differentiation of brightness value;
Filtering Processing portion, the filtering of the filtering characteristic that the marginal information that above-mentioned ultrasonography is implemented to have to go out with aforementioned calculation is corresponding is according to above-mentioned ultrasonography generation filtering image;
Brightness value to a plurality of pixels that filtering image comprised of above-mentioned generation each, improves with above-mentioned marginal information accordingly in enhancing portion, generates according to above-mentioned filtering image to strengthen image; And
Form application portion; Enhancing image applications form to above-mentioned generation; According to above-mentioned enhancing image formation sheet table images; Above table has in being lower than the range of luminance values of threshold value the 1st input-output characteristic that the output brightness value improves along with the raising of input brightness value linearly, and has in being higher than the range of luminance values of above-mentioned threshold value the output brightness value and compare the 2nd input-output characteristic that above-mentioned the 1st input-output characteristic more gently non-linearly improves along with the raising of input brightness value.
11. a diagnostic ultrasound equipment is characterized in that, comprising:
Ultrasound probe sends ultrasound wave to subject, receives the ultrasound wave by above-mentioned subject reflection, generates and the corresponding echo-signal of the above-mentioned ultrasound wave that receives;
Generation portion is according to the echo-signal generation ultrasonography relevant with above-mentioned subject of above-mentioned generation;
Calculating part to each of a plurality of pixels that ultrasonography comprised of above-mentioned generation, calculates the marginal information of above-mentioned pixel according to the space differentiation of the brightness value of above-mentioned pixel;
Filtering portion, the filtering of the filtering characteristic that the marginal information that above-mentioned ultrasonography is implemented to have to go out with aforementioned calculation is corresponding is according to above-mentioned ultrasonography generation filtering image;
Synthetic portion is according to generating the composograph of above-mentioned filtering image and above-mentioned ultrasonography with the corresponding synthesis rate of brightness value of the filtering image of above-mentioned generation; And
The brightness value of above-mentioned pixel to each of a plurality of pixels that composograph comprised of above-mentioned generation, improves with above-mentioned marginal information accordingly in enhancing portion, generates according to above-mentioned composograph to strengthen image.
12. a diagnostic ultrasound equipment is characterized in that, comprising:
Ultrasound probe sends ultrasound wave to subject, receives the ultrasound wave by above-mentioned subject reflection, generates and the corresponding echo-signal of the above-mentioned ultrasound wave that receives;
Generation portion is according to the echo-signal generation ultrasonography relevant with above-mentioned subject of above-mentioned generation;
Form application portion; Ultrasonography application table to above-mentioned generation; And according to above-mentioned ultrasonography generation tabular drawing picture; Above table has in being lower than the range of luminance values of threshold value the 1st input-output characteristic that the output brightness value improves along with the raising of input brightness value linearly, has in being higher than the range of luminance values of above-mentioned threshold value the output brightness value and compares the 2nd input-output characteristic that above-mentioned the 1st input-output characteristic more gently non-linearly improves along with the raising of input brightness value;
Calculating part, each of a plurality of pixels that comprised to the tabular drawing picture or the above-mentioned ultrasonography of above-mentioned generation is calculated the marginal information of above-mentioned pixel according to the space differentiation of the brightness value of above-mentioned pixel;
Filtering portion implements to have the filtering of the corresponding filtering characteristic of the marginal information that goes out with aforementioned calculation to the above table image, according to above table image generation filtering image; And
The brightness value of above-mentioned pixel to each of a plurality of pixels that filtering image comprised of above-mentioned generation, improves with above-mentioned marginal information accordingly in enhancing portion, and generates according to above-mentioned filtering image and to strengthen image.
13. an image processing apparatus is characterized in that, comprising:
Storage part is stored the data of the medical imaging relevant with subject;
Calculating part is according to above-mentioned medical imaging edge calculation information;
Filtering portion, the filtering of the filtering characteristic that the marginal information that above-mentioned medical imaging is implemented to have to go out with aforementioned calculation is corresponding is according to above-mentioned medical imaging generation filtering image;
In the filtering image of above-mentioned generation and the brightness value corresponding position of above-mentioned marginal information improve accordingly with above-mentioned marginal information in enhancing portion, generate according to above-mentioned filtering image to strengthen image; And
Synthetic portion is according to generating the composograph of above-mentioned enhancing image and above-mentioned medical imaging with the corresponding synthesis rate of brightness value of the enhancing image of above-mentioned generation.
14. an image processing apparatus is characterized in that, comprising:
Storage part is stored the data of the medical imaging relevant with subject;
Calculating part to a plurality of pixels that above-mentioned medical imaging comprised each, calculates the marginal information of above-mentioned pixel according to the space differentiation of brightness value;
Filtering Processing portion, the filtering of the filtering characteristic that the marginal information that above-mentioned medical imaging is implemented to have to go out with aforementioned calculation is corresponding is according to above-mentioned medical imaging generation filtering image;
Brightness value to a plurality of pixels that filtering image comprised of above-mentioned generation each, improves with above-mentioned marginal information accordingly in enhancing portion, generates according to above-mentioned filtering image to strengthen image;
Form application portion; Enhancing image applications form to above-mentioned generation; According to above-mentioned enhancing image formation sheet table images; Above table has in being lower than the range of luminance values of threshold value the 1st input-output characteristic that the output brightness value improves along with the raising of input brightness value linearly, and has in being higher than the range of luminance values of above-mentioned threshold value the output brightness value and compare the 2nd input-output characteristic that above-mentioned the 1st input-output characteristic more gently non-linearly improves along with the raising of input brightness value.
15. an image processing apparatus is characterized in that, comprising:
Storage part is stored the data of the medical imaging relevant with subject;
Calculating part to each of a plurality of pixels that above-mentioned medical imaging comprised, calculates the marginal information of above-mentioned pixel according to the space differentiation of the brightness value of above-mentioned pixel;
Filtering portion, the filtering of the filtering characteristic that the marginal information that above-mentioned medical imaging is implemented to have to go out with aforementioned calculation is corresponding is according to above-mentioned medical imaging generation filtering image;
Synthetic portion is according to generating the composograph of above-mentioned filtering image and above-mentioned medical imaging with the corresponding synthesis rate of brightness value of the filtering image of above-mentioned generation; And
The brightness value of above-mentioned pixel to each of a plurality of pixels that composograph comprised of above-mentioned generation, improves with above-mentioned marginal information accordingly in enhancing portion, generates according to above-mentioned composograph to strengthen image.
16. an image processing apparatus is characterized in that, comprising:
Storage part is stored the data of the medical imaging relevant with subject;
Form application portion; To above-mentioned medical imaging application table; Generate the tabular drawing picture according to above-mentioned medical imaging; Above table has in being lower than the range of luminance values of threshold value the 1st input-output characteristic that the output brightness value improves along with the raising of input brightness value linearly, and has in being higher than the range of luminance values of above-mentioned threshold value the output brightness value and compare the 2nd input-output characteristic that above-mentioned the 1st input-output characteristic more gently improves linearly along with the raising of input brightness value;
Calculating part to the tabular drawing picture of above-mentioned generation or a plurality of pixels that above-mentioned medical imaging comprised each, calculates the marginal information of above-mentioned pixel according to the space differentiation of brightness value;
Filtering portion implements to have the filtering of the corresponding filtering characteristic of the marginal information that goes out with aforementioned calculation to the above table image, according to above table image generation filtering image; And
Brightness value to a plurality of pixels that filtering image comprised of above-mentioned generation each, improves with above-mentioned marginal information accordingly in enhancing portion, generates according to above-mentioned filtering image to strengthen image.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2010-245266 | 2010-11-01 | ||
| JP2010245266A JP5832737B2 (en) | 2010-11-01 | 2010-11-01 | Ultrasonic diagnostic apparatus and ultrasonic image processing apparatus |
| PCT/JP2011/075054 WO2012060318A1 (en) | 2010-11-01 | 2011-10-31 | Ultrasonic diagnostic apparatus and ultrasonic image processing apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102753100A true CN102753100A (en) | 2012-10-24 |
| CN102753100B CN102753100B (en) | 2015-10-07 |
Family
ID=46024431
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201180002826.6A Active CN102753100B (en) | 2010-11-01 | 2011-10-31 | Diagnostic ultrasound equipment and Ultrasonographic device |
Country Status (3)
| Country | Link |
|---|---|
| JP (1) | JP5832737B2 (en) |
| CN (1) | CN102753100B (en) |
| WO (1) | WO2012060318A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107405078A (en) * | 2015-03-04 | 2017-11-28 | 佳能株式会社 | Object information acquisition device and the method for showing the image related to object |
| CN111861929A (en) * | 2020-07-24 | 2020-10-30 | 深圳开立生物医疗科技股份有限公司 | Ultrasonic image optimization processing method, system and device |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6081139B2 (en) * | 2011-12-26 | 2017-02-15 | 東芝メディカルシステムズ株式会社 | Ultrasonic diagnostic apparatus, medical image processing apparatus, and medical image processing method |
| JP6116291B2 (en) * | 2013-02-27 | 2017-04-19 | オリンパス株式会社 | Image processing apparatus, image processing method, and image processing program |
| KR102301379B1 (en) * | 2015-01-20 | 2021-09-14 | 삼성전자주식회사 | An imaging processor, an image capturing apparatus, a method for processing an image and a method for controlling the image capturing apparatus |
| JP6968694B2 (en) * | 2017-01-31 | 2021-11-17 | キヤノンメディカルシステムズ株式会社 | Ultrasound diagnostic equipment, image processing equipment and image processing program |
| EP3827753A1 (en) * | 2017-05-19 | 2021-06-02 | Mayo Foundation for Medical Education and Research | System and method for visualization of tissue microvasculature using ultrasound |
| JP7466113B2 (en) | 2019-12-12 | 2024-04-12 | パナソニックＩｐマネジメント株式会社 | Thermal image processing device, thermal image processing module, thermal image processing method, and program |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070040831A1 (en) * | 2005-08-17 | 2007-02-22 | Thomas Flohr | Method for filtering of tomographic 3D displays on the basis of the reconstruction of volume data |
| CN101101669A (en) * | 2007-07-13 | 2008-01-09 | 天津大学 | Image reinforcement method for self-adaptive regulation according to edge and brightness |
| EP2047801A1 (en) * | 2006-07-20 | 2009-04-15 | Hitachi Medical Corporation | Ultrasonographic device |
| CN101452574A (en) * | 2008-12-19 | 2009-06-10 | 深圳市恩普电子技术有限公司 | Method for enhancing ultrasonograph quality |
| CN101467892A (en) * | 2007-12-26 | 2009-07-01 | 株式会社东芝 | Ultrasonic diagnostic apparatus, ultrasonic image processing apparatus, and ultrasonic image processing method |
| CN101639936A (en) * | 2009-04-28 | 2010-02-03 | 北京捷科惠康科技有限公司 | X-ray image enhancing method and system thereof |
| CN101727659A (en) * | 2008-10-31 | 2010-06-09 | 比亚迪股份有限公司 | Method and system for enhancing image edge |
| CN101853489A (en) * | 2009-04-02 | 2010-10-06 | 深圳艾科创新微电子有限公司 | Video image denoising device and method |
| JP2010227554A (en) * | 2009-03-04 | 2010-10-14 | Toshiba Corp | Ultrasonic diagnostic device, image processor, control method for ultrasonic diagnostic device, and image processing method |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7817837B2 (en) * | 2004-05-19 | 2010-10-19 | Hitachi Medical Corporation | Image processing device and method |
| EP1952344B1 (en) * | 2005-11-23 | 2011-06-08 | Cedara Software Corp. | Method and system for enhancing digital images |
| JP5002397B2 (en) * | 2007-09-28 | 2012-08-15 | 株式会社東芝 | Ultrasonic diagnostic apparatus and program |
| JP5049773B2 (en) * | 2007-12-27 | 2012-10-17 | 株式会社東芝 | Ultrasonic diagnostic device, ultrasonic image processing device, ultrasonic image processing program |
| US9245323B2 (en) * | 2008-04-14 | 2016-01-26 | Hitachi Medical Corporation | Medical diagnostic device and method of improving image quality of medical diagnostic device |
-
2010
- 2010-11-01 JP JP2010245266A patent/JP5832737B2/en active Active
-
2011
- 2011-10-31 WO PCT/JP2011/075054 patent/WO2012060318A1/en active Application Filing
- 2011-10-31 CN CN201180002826.6A patent/CN102753100B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070040831A1 (en) * | 2005-08-17 | 2007-02-22 | Thomas Flohr | Method for filtering of tomographic 3D displays on the basis of the reconstruction of volume data |
| EP2047801A1 (en) * | 2006-07-20 | 2009-04-15 | Hitachi Medical Corporation | Ultrasonographic device |
| CN101101669A (en) * | 2007-07-13 | 2008-01-09 | 天津大学 | Image reinforcement method for self-adaptive regulation according to edge and brightness |
| CN101467892A (en) * | 2007-12-26 | 2009-07-01 | 株式会社东芝 | Ultrasonic diagnostic apparatus, ultrasonic image processing apparatus, and ultrasonic image processing method |
| JP2009153716A (en) * | 2007-12-26 | 2009-07-16 | Toshiba Corp | Ultrasonic diagnostic system, ultrasonic image processor and ultrasonic image processing program |
| CN101727659A (en) * | 2008-10-31 | 2010-06-09 | 比亚迪股份有限公司 | Method and system for enhancing image edge |
| CN101452574A (en) * | 2008-12-19 | 2009-06-10 | 深圳市恩普电子技术有限公司 | Method for enhancing ultrasonograph quality |
| JP2010227554A (en) * | 2009-03-04 | 2010-10-14 | Toshiba Corp | Ultrasonic diagnostic device, image processor, control method for ultrasonic diagnostic device, and image processing method |
| CN101853489A (en) * | 2009-04-02 | 2010-10-06 | 深圳艾科创新微电子有限公司 | Video image denoising device and method |
| CN101639936A (en) * | 2009-04-28 | 2010-02-03 | 北京捷科惠康科技有限公司 | X-ray image enhancing method and system thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107405078A (en) * | 2015-03-04 | 2017-11-28 | 佳能株式会社 | Object information acquisition device and the method for showing the image related to object |
| CN111861929A (en) * | 2020-07-24 | 2020-10-30 | 深圳开立生物医疗科技股份有限公司 | Ultrasonic image optimization processing method, system and device |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2012060318A1 (en) | 2012-05-10 |
| JP2012095806A (en) | 2012-05-24 |
| JP5832737B2 (en) | 2015-12-16 |
| CN102753100B (en) | 2015-10-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102753100A (en) | Ultrasonic diagnostic apparatus and ultrasonic image processing apparatus | |
| JP6081139B2 (en) | Ultrasonic diagnostic apparatus, medical image processing apparatus, and medical image processing method | |
| JP6104749B2 (en) | Ultrasonic diagnostic apparatus and control method | |
| US20140039317A1 (en) | Ultrasound diagnosis apparatus and controlling method | |
| CN103687548B (en) | Diagnostic ultrasound equipment and method for ultrasonic imaging | |
| US20120108973A1 (en) | Ultrasonic diagnostic apparatus and ultrasonic image processing apparatus | |
| JP6113592B2 (en) | Ultrasonic diagnostic apparatus and ultrasonic imaging program | |
| KR20110135812A (en) | Ultrasonic diagnosis device | |
| CN106068099B (en) | The working method of ultrasound observation apparatus and ultrasound observation apparatus | |
| EP2425784A1 (en) | Providing a color Doppler mode image in an ultrasound system | |
| US11568535B2 (en) | Medical image processing apparatus, ultrasound diagnosis apparatus, and trained model generating method | |
| US20190216437A1 (en) | Ultrasonic Diagnostic Apparatus and Image Processing Method | |
| US11457896B2 (en) | Ultrasound imaging system and method for generating an enhanced image to enhance a shadow region | |
| JP2018134448A (en) | Ultrasonic diagnostic apparatus and control method | |
| JP6300728B2 (en) | Medical diagnostic imaging equipment | |
| CN106691499B (en) | Method for analyzing an ultrasonic echo signal using scatterer distribution statistics | |
| CN106102590A (en) | Diagnostic ultrasound equipment | |
| JP6865810B1 (en) | Ultrasonic diagnostic equipment and its control program | |
| US20240061109A1 (en) | Ultrasound diagnosis apparatus, image processing apparatus, and computer program product | |
| JP7291534B2 (en) | Analysis equipment and ultrasonic diagnostic equipment | |
| JP3069404B2 (en) | Ultrasound diagnostic equipment | |
| TWI539178B (en) | Analysis methods of ultrasound echo signals based on statistics of scatterer distributions | |
| JP2023048353A (en) | Ultrasonic diagnostic device and program | |
| JP2021137436A (en) | Ultrasound diagnostic device and program | |
| JP5922521B2 (en) | Ultrasonic diagnostic apparatus and control program therefor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20160803 Address after: Japan Tochigi Patentee after: Toshiba Medical System Co., Ltd. Address before: Tokyo, Japan, Japan Patentee before: Toshiba Corp Patentee before: Toshiba Medical System Co., Ltd. |